Package: momentuHMM
Type: Package
Title: Maximum Likelihood Analysis of Animal Movement Behavior Using
        Multivariate Hidden Markov Models
Version: 1.4.3
Date: 2018-11-21
Depends: R (>= 2.10)
Author: Brett McClintock, Theo Michelot
Maintainer: Brett McClintock <brett.mcclintock@noaa.gov>
Description: Extended tools for analyzing telemetry data using generalized hidden Markov models. Features of momentuHMM (pronounced ``momentum'') include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2018) <doi:10.1111/2041-210X.12995>.
License: GPL-3
LazyData: TRUE
Imports: Rcpp, doParallel, foreach, numDeriv, CircStats, crawl (>=
        2.2.1), ggmap, ggplot2, mitools, moveHMM, raster, argosfilter,
        car, mvtnorm, boot, sp, MASS, Brobdingnag, gstat, conicfit,
        nleqslv, survival, qdapRegex, geosphere, LaplacesDemon,
        prodlim, dplyr, magrittr, doRNG
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, setRNG, knitr, splines, splines2 (>= 0.2.8)
RoxygenNote: 6.0.1
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2018-11-21 20:51:01 UTC; brettmcclintock
Repository: CRAN
Date/Publication: 2018-11-22 08:40:13 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 23:04:54 UTC; windows
Archs: i386, x64
